Post
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📢 If you're aimed at processing spreadsheet data with LLM Chain-of-Thought technique, then this update might be valuable for you 💎
The updated 📦 bulk-chain-0.24.2 which is aimed at iterative processing of CSV/JSONL data with no-string dependencies from third party LLM frameworks is out 🎉
📦: https://pypi.org/project/bulk-chain/0.24.2/
🌟: https://github.com/nicolay-r/bulk-chain
📘: https://github.com/nicolay-r/bulk-chain/issues/26
The key feature of bulk-chain is SQLite caching that saves your time ⏰️ and money 💵 by guarantee no-data-lost on using remote LLM providers such as OpenAI, ReplicateIO, OpenRouter, etc.
🔧 This release has the following updates:
✅ Now I am using a separater iterator tiny package source-iter
✅ You can manually setup amount of attempts to continue in case of the lost connection.
✅ other minor improvements.
Quick start on GoogleColab:
📙: https://colab.research.google.com/github/nicolay-r/bulk-chain/blob/master/bulk_chain_tutorial.ipynb
#reasoning #bulk #sqlite3 #chainofthought #cot #nlp #pipeline #nostrings #processing #data #dynamic #llm
The updated 📦 bulk-chain-0.24.2 which is aimed at iterative processing of CSV/JSONL data with no-string dependencies from third party LLM frameworks is out 🎉
📦: https://pypi.org/project/bulk-chain/0.24.2/
🌟: https://github.com/nicolay-r/bulk-chain
📘: https://github.com/nicolay-r/bulk-chain/issues/26
The key feature of bulk-chain is SQLite caching that saves your time ⏰️ and money 💵 by guarantee no-data-lost on using remote LLM providers such as OpenAI, ReplicateIO, OpenRouter, etc.
🔧 This release has the following updates:
✅ Now I am using a separater iterator tiny package source-iter
✅ You can manually setup amount of attempts to continue in case of the lost connection.
✅ other minor improvements.
Quick start on GoogleColab:
📙: https://colab.research.google.com/github/nicolay-r/bulk-chain/blob/master/bulk_chain_tutorial.ipynb
#reasoning #bulk #sqlite3 #chainofthought #cot #nlp #pipeline #nostrings #processing #data #dynamic #llm